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llm-wiki

llm-wiki — Build Karpathy's LLM Wiki with Claude Code. L1/L2 cache architecture. Logseq + Obsidian…

llm-wiki is Build Karpathy's LLM Wiki with Claude Code. L1/L2 cache architecture. Logseq + Obsidian support. - MehmetGoekce/llm-wiki. It is ranked #406 on the Vibe Coding Radar, in Skills & agent setups, first seen 4 days ago and shared in 2 posts (38.3k views).

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GitHub - MehmetGoekce/llm-wiki: Build Karpathy's LLM Wiki with Claude Code. L1/L2 cache architecture. Logseq + Obsidian support. · GitHub Skip to content Navigation Menu Sign in Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation llm-wiki Public Notifications You must be signed in to change notification settings Fork 29 ( 29 ) Star 154 ( 154 ) You must be signed in to star a…

What people said about llm-wiki on X

I still don't get why people bother creating a second brain for Claude from scratch when these 10 repositories already provide complete systems They process your sources, organize them into a wiki, verify every single claim, and one of them even operates entirely on your personal machine 1. obsidian-skills->…

— @Bober_smart, 4 days ago · 520 likes · see the post

上一篇介绍了 GitHub 的开源项目 Spec Kit,让 Claude Code、Codex 在开发软件时,先明确需求、制定架构、拆分任务,再按照计划一步步实现,减少项目越改越乱的问题。 但我觉得还有一个更重要的问题:AI 在设计新项目时,能不能直接利用我们平时积累的技术知识和过去的开发经验? 比如,我经常在 X 上看到很棒的开源项目/技术方案,在 Reddit 上发现有价值的技术讨论,在 YouTube 上看到新技术的演示、性能测试或者架构设计。 这些东西我都会收藏,想着以后可能用得上。 但时间一长,收藏的东西越来越多,真正开发项目时,可能早就忘了在哪里看过,更谈不上系统地利用这些知识。 最近 Stewy 分享了 10 个…

— @BeyondTheBoxCN, 2 days ago · 5 likes · see the post

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FAQ

What is llm-wiki?

Build Karpathy's LLM Wiki with Claude Code. L1/L2 cache architecture. Logseq + Obsidian support. - MehmetGoekce/llm-wiki It was first shared on X 4 days ago and is ranked #406 on the Vibe Coding Radar.

Is llm-wiki free?

It is open source.

Who shared llm-wiki?

2 accounts on X, including @Bober_smart, @BeyondTheBoxCN, in 2 posts totalling 38.3k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 7.9k posts from 5k X accounts over the last 14 days, 2.6k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:18 UTC. Full method.